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• W1987809719 abstract "Weak-lensing peak counts has been shown to be a powerful tool for cosmology. It provides non-Gaussian information of large scale structures, complementary to second order statistics. We propose a new flexible method to predict weak lensing peak counts, which can be adapted to realistic scenarios, such as a real source distribution, intrinsic galaxy alignment, mask effects, photo-$z$ errors from surveys, etc. The new model is also suitable for applying the tomography technique and non-linear filters. A probabilistic approach to model peak counts is presented. First, we sample halos from a mass function. Second, we assign them NFW profiles. Third, we place those halos randomly on the field of view. The creation of these requires much less computing time compared to $N$-body runs. Then, we perform ray-tracing through these fast simulation boxes and select peaks from weak-lensing maps to predict peak number counts. The computation is achieved by our textsc{Camelus} algorithm, which we make available at this http URL . We compare our results to $N$-body simulations to validate our model. We find that our approach is in good agreement with full $N$-body runs. We show that the lensing signal dominates shape noise and Poisson noise for peaks with SNR between 4 and 6. Also, counts from the same SNR range are sensitive to $Omega_mathrm{m}$ and $sigma_8$. We show how our model can discriminate between various combinations of those two parameters. In summary, we offer a powerful tool to study weak lensing peaks. The potential of our forward model is its high flexibility, making the use of peak counts under realistic survey conditions feasible." @default.
• W1987809719 created "2016-06-24" @default.
• W1987809719 creator A5067640055 @default.
• W1987809719 creator A5072428354 @default.
• W1987809719 date "2014-10-25" @default.
• W1987809719 modified "2023-10-18" @default.
• W1987809719 title "A new model to predict weak-lensing peak counts I. Comparison with $N$-body Simulations" @default.
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• W1987809719 hasPublicationYear "2014" @default.
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